Intelligent management equipment and system for facility agriculture

Abstract

The invention discloses a facility agriculture intelligent management device and system, and the device comprises a spectral imaging module and a laser scanning module, the spectral imaging module and the laser scanning module are jointly connected with a checking module, the checking module is connected with a construction module and a camera module, the construction module is connected with a storage module and a monitoring module, and the storage module is connected with the camera module. The invention relates to the technical field of agricultural intelligent management. According to the facility agriculture intelligent management equipment and system, the spectral imaging module and the laser scanning module perform multispectral imaging and 3D laser scanning processing on an agricultural planting area, the checking module performs checking processing on two groups of scanning data, and when the checking data deviates or is missing, the checking module performs checking processing on the two groups of scanning data. Multi-spectral imaging and 3D laser scanning blind spots are subjected to camera shooting processing through the camera shooting module so as to complement the overall information of an agricultural planting area and improve the precision of model construction, and multi-spectral imaging data, 3D laser scanning data and camera shooting data are integrated and constructed through the construction module.

Description

Technical Field

[0001] This invention relates to the field of agricultural intelligent management technology, specifically to an intelligent management equipment and system for facility agriculture. Background Technology

[0002] In agricultural production, to improve management efficiency, corresponding intelligent management equipment and systems are needed. Chinese patent number "CN111163181B" discloses a lightweight intelligent agriculture heterogeneous IoT management system, including an access control layer, a business processing layer, a message parsing layer, and a communication transmission layer. The access control layer is used to realize configuration management and application access control, and can be applied to different application scenarios such as field planting, facility horticulture, aquaculture, and livestock and poultry farming. As shown in the above patent, when existing facility agriculture intelligent management equipment and systems are used, most systems are difficult to construct a high-precision agricultural area ecological model according to the specific information of the agricultural area and to monitor and process the ecological status of the agricultural area in a timely manner. Moreover, the system is difficult to respond to disasters caused by the crop area and is difficult to adjust the agricultural area environment in a timely manner according to the needs of the crops, which affects the survival rate of crops and the quality of finished products. Summary of the Invention

[0003] To address the shortcomings of existing technologies, this invention provides a smart management equipment and system for facility agriculture, which solves the problems of the system's inability to effectively construct an ecological model of an agricultural region and monitor and regulate the ecological environment, thus affecting crop survival.

[0004] To achieve the above objectives, the present invention provides the following technical solution: a smart management system for facility agriculture, comprising a spectral imaging module and a laser scanning module for constructing an ecological model of an agricultural region. The spectral imaging module and the laser scanning module are jointly connected to a verification module. The verification module is connected to a construction module and a camera module. The construction module is connected to a storage module and a monitoring module. The monitoring module is connected to a prevention and control module for abnormal state prevention and control and an adjustment module for regulating the agricultural region environment. The prevention and control module is connected to a maintenance module for maintaining the agricultural region environment. The adjustment module is connected to a feedback module for providing feedback on the adjustment status.

[0005] Preferably, the construction module and the monitoring module are both connected to the adjustment module, the maintenance module is connected to the monitoring module, and the storage module is connected to the prevention and control module.

[0006] Preferably, the feedback module is connected to the storage module, and the verification module is used to verify the status of the data generated by the spectral imaging module and the laser scanning module.

[0007] Preferably, the prevention and control module includes an analysis module connected to the monitoring module and the storage module respectively. The analysis module is used to classify prevention and control targets in agricultural areas. The analysis module is connected to a scheme formulation module. The scheme formulation module is connected to a trapping module and an insect control module respectively. The trapping module and the insect control module are both connected to the maintenance module.

[0008] Preferably, the trapping module is used to trap and kill surrounding animals that affect crop growth, and the pest control module is used to kill pests scattered in the crop growth area.

[0009] Preferably, the adjustment module includes a generation module connected to the monitoring module and the feedback module respectively and used for generating the cultivation plan. The generation module is connected to a ventilation module, a fertilization module, a water supply module, a temperature control module, a light control module, and an adjustment module for crop cultivation and treatment. The ventilation module, fertilization module, water supply module, temperature control module, light control module, and adjustment module are all connected to a harvesting module for harvesting mature crops. The harvesting module is connected to a classification module for classifying harvested crops. The classification module is connected to a feed production module, a composting module, and a recycling module respectively.

[0010] Preferably, the feed production module, composting module, and recycling module classify the harvested crops according to the classification module, and respectively process them into feed, compost, and recycle them for storage.

[0011] The present invention also discloses a smart management equipment for facility agriculture, including a memory and a processor. The memory is equipped with a smart management system for facility agriculture, and the processor is used to provide corresponding processing operations according to the system stored in the memory.

[0012] Beneficial effects This invention provides an intelligent management equipment and system for facility agriculture. Compared with the prior art, it has the following advantages: (1) The intelligent management equipment and system for facility agriculture, by setting up a construction module and a monitoring module, a spectral imaging module and a laser scanning module in the system to perform multispectral imaging and 3D laser scanning processing on the agricultural planting area, and a verification module to verify the two sets of scanning data, when the verification data is biased or missing, the camera module performs video processing on the blind spots of multispectral imaging and 3D laser scanning to complete the overall information of the agricultural planting area, improve the accuracy of the construction model and reduce the bias. The construction module integrates and constructs multispectral imaging data, 3D laser scanning data and camera data to form an agricultural area ecological model. The monitoring module monitors the agricultural area ecological model constructed by the construction module. By constructing and monitoring the agricultural area ecological model, the intelligent management effect of the system is improved, which is helpful for subsequent environmental regulation and disaster prevention.

[0013] (2) The intelligent management equipment and system for facility agriculture, by setting up a prevention and control module in the system, when the monitoring module detects abnormal plant growth, it transmits a signal to the prevention and control module. The prevention and control module combines the data in the database of the analysis module and the storage module to determine the target of prevention and control for the plant and classify it. The analysis module transmits the analysis data to the scheme formulation module. The scheme formulation module transmits the prevention and control data to the trapping module and the pest control module according to the needs of the scheme. The trapping module traps and kills animals such as rats and rabbits around the crops. The pest control module sprays the corresponding insect repellent pesticides on the crops and the movement trajectory of the pests according to the pests, so as to effectively remove the animals and pests that interfere with the growth of crops, reduce the impact of the corresponding animals and pests on the cultivation of crops, and improve the survival rate of crops.

[0014] (3) The intelligent management equipment and system for facility agriculture, by setting up an adjustment module in the system, when the plant growth data is normal, the monitoring module transmits a signal to the adjustment module. The generation module inside the adjustment module generates a crop cultivation plan based on the normal data monitored by the monitoring module and the database data in the storage module. After the cultivation plan is generated, it is transmitted to the ventilation module, fertilization module, water supply module, temperature adjustment module, light adjustment module, and humidity adjustment module respectively, so as to realize the ventilation, fertilization, water supply, temperature adjustment, light adjustment, and humidity adjustment of the agricultural planting area. After the treatment is completed and the crops are mature, the harvesting module harvests the crops and transmits them to the classification module. The classification module classifies the crops, and the qualified crops are recycled through the recycling module. The unqualified crops are further classified. Crops that meet the livestock feeding standards are made into feed through the feed production module. Crops that meet the composting standards are composted through the composting module to improve the utilization rate of crops. This setting dynamically adjusts the crop growth environment according to the needs of crop growth, realizes intelligent cultivation of crops, and improves the quality of finished crops. Attached Figure Description

[0015] Figure 1 This is a block diagram illustrating the main principle of the present invention; Figure 2 This is the main flowchart of the present invention; Figure 3 This is a block diagram illustrating the principle of the prevention and control module within this invention. Figure 4 This is a schematic diagram of the internal adjustment module of the present invention. Detailed Implementation

[0016] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0017] refer to Figure 1-4 The present invention provides the following three technical solutions: First implementation: A smart management system for facility agriculture, including a spectral imaging module and a laser scanning module for constructing an ecological model of an agricultural area. The spectral imaging module and the laser scanning module are jointly connected to a verification module. The verification module is connected to a construction module and a camera module. The construction module is connected to a storage module and a monitoring module. The monitoring module is connected to a prevention and control module for abnormal state prevention and control and an adjustment module for regulating the agricultural area environment. The prevention and control module is connected to a maintenance module for maintaining the agricultural area environment. The adjustment module is connected to a feedback module for feedback on the adjustment status. The construction module and the monitoring module are both connected to the adjustment module, the maintenance module is connected to the monitoring module, and the storage module is connected to the prevention and control module. The feedback module is connected to the storage module, and the verification module is used to verify the status of the data generated by the spectral imaging module and the laser scanning module. The spectral imaging module and the laser scanning module perform multispectral imaging and 3D laser scanning processing on the agricultural planting area. The verification module verifies the two sets of scan data. When the verification data is inaccurate or missing, the camera module performs video processing on the blind spots of multispectral imaging and 3D laser scanning to complete the overall information of the agricultural planting area. The construction module integrates and constructs the multispectral imaging data, 3D laser scanning data, and camera data to form an agricultural area ecological model. The monitoring module monitors the agricultural area ecological model constructed by the construction module. By constructing and monitoring the agricultural area ecological model, the intelligent management and control effect of the system is improved, which is helpful for subsequent environmental regulation and disaster prevention. The main difference between the second implementation method and the first implementation method is that: The prevention and control module includes an analysis module that is connected to the monitoring module and the storage module respectively. The analysis module is used to classify the prevention and control targets in agricultural areas. The analysis module is connected to the plan formulation module, which is connected to the trapping module and the insect control module respectively. Both the trapping module and the insect control module are connected to the maintenance module. The trapping module is used to trap and kill animals that affect crop growth, while the pest control module is used to kill pests scattered in the crop growth area. When the monitoring module detects abnormal plant growth, it transmits a signal to the prevention and control module. The prevention and control module combines the data from the analysis module with the database in the storage module to determine and classify the target plants that need to be controlled. The analysis module transmits the analysis data to the solution formulation module. The solution formulation module transmits the prevention and control data to the trapping module and the pest control module respectively according to the needs of the formulated solution. The trapping module traps and kills animals such as rats and rabbits that are rampant around the crops. The pest control module sprays the corresponding insecticides on the crops and the movement trajectory of the pests according to the pest species, so as to effectively remove animals and pests that interfere with crop growth. The main difference between the third and second implementation methods is that: The adjustment module includes a generation module that is connected to the monitoring module and the feedback module and is used to generate the cultivation plan. The generation module is connected to a ventilation module, a fertilization module, a water supply module, a temperature control module, a light control module, and a debugging module for crop cultivation and treatment. The ventilation module, fertilization module, water supply module, temperature control module, light control module, and debugging module are all connected to a harvesting module for harvesting mature crops. The harvesting module is connected to a classification module for classifying harvested crops. The classification module is connected to a feed production module, a composting module, and a recycling module. The feed production module, composting module, and recycling module classify harvested crops according to the classification module, processing them into feed, composting them, and storing them. When plant growth data is normal, the monitoring module transmits signals to the adjustment module. The generation module within the adjustment module generates a crop cultivation plan based on the normal data monitored by the monitoring module and the database data in the storage module. After the cultivation plan is generated, it is transmitted to the ventilation module, fertilization module, water supply module, temperature control module, light control module, and humidity control module to regulate ventilation, fertilization, water supply, temperature control, light control, and humidity in the agricultural planting area. After processing is completed and the crops mature, the harvesting module harvests the crops and transmits them to the classification module. The classification module classifies the crops, recycling qualified crops and further classifying unqualified crops. Crops that meet livestock feeding standards are processed into feed by the feed production module, and crops that meet composting standards are composted in the soil by the composting module, improving crop utilization.

[0018] The present invention also discloses a smart management equipment for facility agriculture, including a memory and a processor. The memory is equipped with a smart management system for facility agriculture, and the processor is used to provide corresponding processing operations according to the system stored in the memory.

[0019] Furthermore, all content not described in detail in this specification is existing technology known to those skilled in the art, and the model parameters of each electrical appliance are not specifically limited; conventional equipment can be used.

[0020] In use, the user performs multispectral imaging and 3D laser scanning of the agricultural planting area through the spectral imaging module and the laser scanning module. The verification module verifies the two sets of scan data. When the verification data is inaccurate or missing, the camera module performs video processing on the blind spots of multispectral imaging and 3D laser scanning to complete the overall information of the agricultural planting area. The construction module integrates and constructs the multispectral imaging data, 3D laser scanning data, and camera data to form an agricultural area ecological model. The monitoring module monitors the agricultural area ecological model constructed by the construction module. When the monitoring module detects abnormal plant growth, it transmits a signal to the prevention and control module. The prevention and control module combines the data in the database of the analysis module and the storage module to determine and classify the target plants that need to be prevented and controlled. The analysis module transmits the analysis data to the solution formulation module. The solution formulation module transmits the prevention and control data to the trapping module and the pest control module according to the needs of the formulated solution. The trapping module traps and kills rats, rabbits, and other rampant animals around the crops. The pest control module sprays the appropriate insecticides on the crops and the movement trajectory of the pests according to the pest species. The prevention and control module transmits signals to the maintenance module to maintain and treat damage to agricultural areas caused by animals and pests. When plant growth data is normal, the monitoring module transmits signals to the adjustment module. The generation module inside the adjustment module generates a crop cultivation plan based on the normal data monitored by the monitoring module and the database data in the storage module. After the cultivation plan is generated, it is transmitted to the ventilation module, fertilization module, water supply module, temperature control module, light control module, and humidity control module to achieve ventilation, fertilization, water supply, temperature control, light control, and humidity control in the agricultural planting area. After the treatment is completed and the crops are mature, the harvesting module harvests the crops and transmits them to the classification module. The classification module classifies the crops. Qualified crops are recycled through the recycling module, crops that meet the livestock feeding standards are processed into feed through the feed production module, and crops that meet the composting standards are composted into the soil through the composting module.

[0021] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0022] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A smart management system for facility agriculture, comprising a spectral imaging module and a laser scanning module for constructing an ecological model of an agricultural region, characterized in that: The spectral imaging module and the laser scanning module are jointly connected to a verification module. The verification module is connected to a construction module and a camera module. The construction module is connected to a storage module and a monitoring module. The monitoring module is connected to a prevention and control module for abnormal conditions and a regulation module for agricultural area environmental regulation. The prevention and control module is connected to a maintenance module for agricultural area environmental maintenance. The regulation module is connected to a feedback module for regulation status feedback.

2. The intelligent management system for facility agriculture according to claim 1, characterized in that: The construction module and monitoring module are both connected to the adjustment module, the maintenance module is connected to the monitoring module, and the storage module is connected to the prevention and control module.

3. The intelligent management system for facility agriculture according to claim 1, characterized in that: The feedback module is connected to the storage module, and the verification module is used to verify the status of the data generated by the spectral imaging module and the laser scanning module.

4. The intelligent management system for facility agriculture according to claim 1, characterized in that: The prevention and control module includes an analysis module connected to a monitoring module and a storage module, respectively. The analysis module is used to classify prevention and control targets in agricultural areas. The analysis module is connected to a scheme formulation module, which is connected to a trapping module and an insect control module. Both the trapping module and the insect control module are connected to the maintenance module.

5. The intelligent management system for facility agriculture according to claim 4, characterized in that: The trapping module is used to trap and kill surrounding animals that affect crop growth, and the pest control module is used to kill pests scattered in the crop growth area.

6. The intelligent management system for facility agriculture according to claim 1, characterized in that: The adjustment module includes a generation module connected to the monitoring module and the feedback module, respectively, for generating cultivation plans. The generation module is connected to a ventilation module, a fertilization module, a water supply module, a temperature control module, a light control module, and a debugging module for crop cultivation and treatment. The ventilation module, fertilization module, water supply module, temperature control module, light control module, and debugging module are all connected to a harvesting module for harvesting mature crops. The harvesting module is connected to a classification module for sorting harvested crops. The classification module is connected to a feed production module, a composting module, and a recycling module.

7. The intelligent management system for facility agriculture according to claim 6, characterized in that: The feed production module, composting module, and recycling module classify the harvested crops according to the classification module, and process them into feed, compost, and recycle them for storage.

8. A smart management equipment for facility agriculture, characterized in that: It includes a memory and a processor, wherein the memory is equipped with a smart management system for facility agriculture according to any one of claims 1 to 7, and the processor is used to provide corresponding processing operations based on the system stored in the memory.

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